I will do image and video annotation for ai
About this Gig
I help AI and machine learning teams get clean, accurately labeled training data the kind that actually improves model performance instead of introducing noise.
Ideal for startups, AI labs, and ML teams needing anywhere from a few hundred to tens of thousands of annotated frames.
With close to 4 years of hands-on experience through Scale AI's Remotasks platform, I specialize in:
- 2D/3D image and video segmentation (polygon, cuboid)
- LiDAR point cloud annotation for autonomous systems
- Semantic segmentation and bounding box labeling
- Data quality review and consistency checks
I've maintained a 98% accuracy rate across annotation projects while following detailed, project-specific guidelines, and I'm comfortable working async, with clear written communication and no need for live calls.
If you're building a dataset for computer vision, autonomous vehicles, robotics, or any ML application, I can help you get it labeled accurately and on time.
Check my packages below, or message me with your project details (image count, format, complexity) for a custom quote.
Technique:
Automated
Tagging type:
Image
•
Video
My Portfolio
FAQ
What annotation tools/formats do you work with?
I'm experienced with polygon, cuboid, bounding box, and semantic segmentation annotation, and I'm comfortable adapting to whatever platform or tool your project uses.
Can you handle large datasets?
Yes — please message me with the dataset size and I'll confirm turnaround time and pricing before we start.

